Vincent Valton

Background

About Vincent Valton

Wearable health-tech enthusiast and ML/AI practitioner in the wearable space. Previously a Senior Machine Learning Engineer at All.Health (a wearable health-tech company providing continuous monitoring of patients vitals - formerly known as Jawbone). I developed ML prototypes, and deployed algorithms to production to improve patients' access to personalised health care. Formerly a research scientist at University College London, I developed and applied machine learning models to better understand the cognitive processes involved in Mental Disorders. My research aimed to uncover unique individual computational markers (computational cognitive fingerprints) explaining patients biases, decisions and predicting future symptoms. These model predictions could then be used provide early forms of treatment to prevent the onset of chronic mental health disorders. Skills and topics used in my research are: Computational modelling, Bayesian modelling & statistics, Reinforcement learning, Deep Learning, Neuroscience, Artificial Intelligence, Sampling, Human Behaviour, Computational neuroscience, Computational psychiatry.